Whether we realise, or accept it, artificial intelligence (AI) has already become an integral part of our everyday lives. It is everywhere, our workplace, homes, cars, phones, and computers. AI can influence our choices of TV shows, movies, and music based on things we have watched or listened to in the past and making suggestions through our Smart TVs, social media platforms, and other devices. Ads are targeted towards our interests based on our search history and we are more connected now than we have ever been through the use of artificial intelligence. Dating apps can pair you with your'perfect mate' with the use of algorithms based on a set of questions you are asked when signing up.

Sign up for internet service with Comcast's Xfinity, and the company will get you in for $19.95 for a relatively slow 25 megabits per second, or $49.99 for "faster speeds" like 200 Mbps. But if you're having trouble with your video calls dropping out, buffering when watching Netflix or waiting for websites to load on your computer, getting faster internet speed may not be the answer. That's the admittedly biased opinion of Nick Weaver, founder of Eero, a device that connects to your home internet and spreads Wi-Fi signals more evenly throughout the various rooms. "You're welcome to pay Comcast pay more money monthly if you like, but it won't solve the problem," Weaver says. You will get faster internet if using a wired connection, "but not in the places of the home where you need it," as in devices that depend upon Wi-Fi like laptops, smart TVs, connected speakers like Amazon Echo and more.

The answer is machine learning, according to researchers at Missouri University of Science and Technology. Missouri S&T researchers want to ensure that Internet of Things (IoT)-collected data is accurate and usable, while still protecting the items from malicious attacks or invasions of privacy. IoT are physical objects with sensors and software that are connected to the Internet. Researchers say that improving a machine-learning technique called federated learning could allow companies to develop new ways to collect anonymous, but accurate, data from users. Federated learning trains algorithms with access to multiple individual devices that hold local data.

Sign up for internet service with Comcast's Xfinity, and the company will get you in for $19.95 for a relatively slow 25 megabits per second, or $49.99 for "faster speeds" like 200 Mbps. But if you're having trouble with your video calls dropping out, buffering when watching Netflix or waiting for websites to load on your computer, getting faster internet speed may not be the answer. That's the admittedly biased opinion of Nick Weaver, the founder of Eero, a device that connects to your home internet and spreads Wi-Fi signals more evenly throughout the various rooms. "You're welcome to pay Comcast pay more money monthly if you like, but it won't solve the problem," says Weaver. You will get faster internet if using a wired connection, "but not in the places of the home where you need it," as in devices that depend upon Wi-Fi like laptops, smart TVs, connected speakers like Amazon Echo and more.

The original version of this paper is entitled "SATURN: A thin and flexible self-powered microphone designed on the principle of triboelectric nanogenerator" and was published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2.2 (60), 2018, ACM

US federal agencies have now been issued a guidance by the White House on how to regulate artificial intelligence (AI) applications that are produced in the US. "This memorandum sets out policy considerations that should guide, to the extent permitted by law, regulatory and non-regulatory approaches to AI applications developed and deployed outside of the federal government," stated Russell Vought, director of the Office of Management and Budget (OMB) in the memo [PDF] for all the heads of executive departments and agencies, including independent regulatory agencies. The OMB guidance comes 21 months after President Donald Trump signed an executive order to fast-track the development and regulation of AI in the US. President Trump at the time touted the executive order would see the launch of the American AI initiative, which would place US resources towards ensuring that AI technology is made locally. According to the guidance, the idea is to ensure that agencies do not introduce regulations and rules that "hamper AI innovation and growth".

Human life and Mother Earth cannot survive without change. The entire life concept is devised on the habit of change. Knowing about the technologies that are becoming popular in recent times is one way to move forward in your professional and personal life as well. In this article, we focus on the popular recent technologies that are creating quite an impact on many industries. This is designed to provide a higher level of performance than the older generation types namely 1G, 2G, 3G, and 4G.

The coronavirus pandemic lockdown has highlighted a series of new social changes, but with it, a whole new set of software and hardware technologies have become our coping mechanisms. During the onset of the lockdown in March this year, businesses across a broad range of industries were forced to adapt rapidly in order to survive. Across the country, millions of staff began working from home and shoppers were unable to visit the high street. However, despite the disruption and challenges of Covid-19, a host of sectors are thriving. In this article, we will look at some of the major sectors that have benefitted from the'stay at home' culture and explore how the digital transformation of our daily lives has allowed us to cope with lockdown measures.

Everything Artificial Intelligence has ever been, hopes to be, or currently is to the enterprise has been encapsulated in a single emergent concept, a hybrid term, simultaneously detailing exactly where it is today, and just where it's headed in the coming year. The ModelOps notion is so emblematic of AI because it gives credence to its full breadth (from machine learning to its knowledge base), which Gartner indicates involves rules, agents, knowledge graphs, and more. ModelOps is about more than simply operationalizing and governing AI models. Moreover, it involves doing so onsite while leveraging the advantages of the cloud and, when it comes to AI's machine learning prowess, with a range of approaches rooted in supervised, unsupervised, and even reinforcement learning. Implicit to these capabilities is the need to position machine learning models at the edge, supersede their traditional training data limitations (and methods), and imbibe everything from streaming to static data for a predictive exactness based on the most current data possible.

The Brazilian government has announced the launch of a national innovation network focused on artificial intelligence (AI) with the aim of increasing the production capacity and competitiveness of local companies. Described as the largest in the country, the network is the result of the cooperation between the Ministry of Science, Technology and Innovations (MCTI) and the Brazilian Industrial Research and Innovation Company (EMBRAPII). An investment of 70 million reais (US$ 12 million) deriving from government incentives will go towards the MCTI/EMBRAPII network in the next five years, of which 20 million reais (US$ 3.5 million) will be focused on AI applied to the automotive and agribusiness sectors. The model provides for equal contributions from the private sector, which could double the value of individual projects. The goal of the network is to encourage use of advanced technologies in various productive sectors, through the provision of non-refundable resources, as well as access to an innovation ecosystem with complementary technological skills.